masterThesis
Modelagem do processo de autoprecipitação de gibsita em decantadores do processo Bayer
Fecha
2018-03-05Registro en:
RODRIGUES, Daniel de Araújo Costa. Modelagem do processo de autoprecipitação de gibsita em decantadores do processo Bayer. 2018. 94f. Dissertação (Mestrado em Engenharia Química) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2018.
Autor
Rodrigues, Daniel de Araújo Costa
Resumen
Most Bayer process refineries monitor carefully alumina losses. One of the prominent effects
that cause it is auto precipitation in the clarification circuit. This document proposes a conceptual
model for the representation of the process nuances, considering settler solids profile and
composition, and the uneven fluid flow behavior of a vessel of this type. The technique consists in
discretization of of bayer process decanters in stagest with representation of mixing, reaction, and
splitting. It is proven to be at zero degrees of freedom independently of the composition detail on
liquor and solids composition through a generalized degrees of freedom analysis for an undefined
number of components and stages. The effect of parameters such as number of stages, feed stream
position, and mud bed level on the model response and stability is analyzed so to propose an ideal
range of numerical modelling conditions. The proposed model was shown to be robust and has
guaranteed a steady state solution attaining results that are in accordance with reality. Additionally,
the impact of the number of discretization does not add to the model capacity, in fact it is detrimental
to it by adding numerical instability while the combination of number of stages and position of the
feed possess an optimal functioning combination.